Mcp Personal Email To Company Resolver

com.mambabuilt由 mambabuilt.com 發布v1.0.1更新於 Nov 7, 2026

Find the likely employer behind a Gmail or other free mail signup, with a confidence.

概覽

AI 產生的概覽

依據公開的 Gravatar、GitHub 與 LinkedIn 線索,推測 Gmail、Outlook 等免費信箱背後可能的雇主,並附上信心分數。

可以做什麼
  • 為單一信箱或最多 300 個信箱批次推測雇主
  • 每個信箱回傳一列,包含姓名、可能雇主、雇主網域與信心分數
  • 說明雇主來源(Gravatar、GitHub、網頁結果、LinkedIn 簡介或信箱網域)並附證據連結
  • 可選擇為尚未解析的信箱追加一次精確網頁搜尋,並執行 LinkedIn URL 解析步驟
適用情境
當你手上有使用個人信箱的註冊名單、潛在客戶或聯絡人清單,想推測每個人任職的公司,並希望有證據與信心分數可供篩選時適用。
執行需求
透過 npx 在本機執行,需要 Node.js 18 或更新版本。呼叫需要 Apify 帳號,並以環境變數 APIFY_TOKEN 提供 Apify API 權杖;沒有權杖時工具仍會列出。需要連線至 Apify 的網路,可選擇提供自己的 GitHub 權杖。
安裝前請注意
每次呼叫都會在你的 Apify 帳號產生費用:解析成功的地址與執行啟動按事件計費,可選的 LinkedIn 解析器按送出的人數計費,不論是否找到。可選的 GitHub 權杖會在該次執行中使用。結果是依公開資料推測,具機率性,可能出錯;可設定費用上限參數。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Mcp Personal Email To Company Resolver,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

Personal Email to Company Resolver MCP Server

[Glama score] [MCP Registry] [npm version] [npm downloads] [license] [mcpservers.org]

[Personal Email To Company Resolver MCP server]

Give it a free mail address (Gmail, Outlook, iCloud, Yahoo, and about 140 more consumer domains). Each run reads the public Gravatar profile for the address, the GitHub account whose public commits are signed with it, and, for a name with an employer, Mamba Labs Person LinkedIn URL Resolver. It returns one row per address with the person's name, likely employer, employer domain, and a confidence. It never contacts the mailbox and never opens LinkedIn.

What's Inside

What it does

  • match_status is resolved (employer at 0.75 or more, billed), weak, name_only, corporate_email, not_found, invalid_email, or blocked, and only resolved is billed.
  • employer_source says where the employer came from: gravatar, github, web_result, linkedin_headline, or email_domain. evidence_urls lists the public pages.
  • The LinkedIn step raises the confidence when a LinkedIn result shows the employer as current and lowers it when it shows it as former.

All of the work runs on Apify. This package is a thin client that starts the actor run, waits for it, and hands back the dataset rows.

Quick start

You need Node.js 18 or newer and an Apify account with an API token.

Add this to your Claude Desktop config (claude_desktop_config.json), Cursor, or any MCP client:

json
{  "mcpServers": {    "mamba-personal-email-to-company-resolver": {      "command": "npx",      "args": [        "-y",        "@mambalabsdev/mcp-personal-email-to-company-resolver"      ],      "env": {        "APIFY_TOKEN": "your-apify-token"      }    }  }}

Restart the client. The resolve_personal_email_employer tool appears.

Prerequisites

Example prompts

  • "These ten signups used Gmail addresses. Which companies do they work at?"
  • "Find the employer behind this Outlook address and show me the evidence."

Tool

resolve_personal_email_employer. One tool. Example arguments:

json
{ "emails": ["[email protected]"] }

Inputs

Every buyer facing input of the actor, unchanged. Omitted inputs take the actor's own defaults.

InputTypeDescription
emailstringOne address
emailsarrayUp to 300 addresses
github_tokenstringOptional, your own free GitHub token
search_webstringtrue adds one exact Google search per address left without an employer. Default false
use_linkedin_resolverstringtrue (default) runs Person LinkedIn URL Resolver from your account, billed at its own price
countrystringGoogle country code. Default us
max_charge_usdstringOptional cost cap for the run

Pricing

Pay per event on Apify, billed to your Apify account. Prices in USD.

EventFree planBronzeSilverGold
email-resolved, per address with an employer at 0.75 or more$0.025$0.02375$0.0225$0.02125
apify-actor-start, per run start$0.0005$0.0005$0.0005$0.0005

Every other row is free. With use_linkedin_resolver on, Person LinkedIn URL Resolver bills its own events on top: $0.035 per person sent to it, found or not, plus $0.0005 per run on the free plan.

Your keys

The actor holds no key. github_token is optional and is your own, used for the run only. Mamba Labs pays the platform costs of the run, proxy traffic included.

Full actor documentation

apify.com/mambalabs/personal-email-to-company-resolver

License

MIT. See LICENSE.

來源:README.md,提交 7d7b46e

工具

1

resolve_personal_email_employer

Resolve the employer behind a personal email

Find the likely employer behind a free mail address (Gmail, Outlook, iCloud, Yahoo, and about 140 more), from the public Gravatar profile for the address, the GitHub account whose public commits are signed with it, and Mamba Labs Person LinkedIn URL Resolver. Returns one row per address with person_name, employer_name, employer_domain when a source names it, employer_source, employer_confidence from 0 to 1, match_status (resolved at 0.75 or more, weak, name_only, corporate_email, not_found, invalid_email, blocked), the LinkedIn URL when found, and evidence_urls. It never contacts the mailbox and never opens LinkedIn. A run that does not succeed is returned as an error with its run ID. Read-only; requires an APIFY_TOKEN; Apify charges per resolved address, and the optional LinkedIn step is billed by Person LinkedIn URL Resolver at its own price.

輸入參數emailemailscountrysearch_webgithub_tokenmax_charge_usduse_linkedin_resolver

版本歷史

2
  1. v1.0.1最新Nov 5, 2026
  2. v1.0.0Oct 22, 2026

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